6052304 1 Jan van Rijn 9954 Supervised Classification 6952 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1) 4086957 axis 0 6947 categorical_features [] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "median" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [] 6948 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 6948 handle_unknown "ignore" 6948 n_values "auto" 6948 sparse true 6948 threshold 0.0 6949 C 4.279065499464843 6953 cache_size 200 6953 class_weight null 6953 coef0 0.0 6953 decision_function_shape null 6953 degree 3 6953 gamma 0.000758849188980506 6953 kernel "rbf" 6953 max_iter -1 6953 probability true 6953 random_state 55801 6953 shrinking true 6953 tol 0.025041525396978636 6953 verbose false 6953 openml-pimp openml-python Sklearn_0.18.1. 1491 one-hundred-plants-margin https://www.openml.org/data/download/1592283/phpCsX3fx -1 13027771 description https://api.openml.org/data/download/13027771/description.xml -1 13027772 predictions https://api.openml.org/data/download/13027772/predictions.arff area_under_roc_curve 0.3492163825757574 [0.440223,0.32414,0.317274,0.327573,0.330848,0.31029,0.332623,0.317748,0.311435,0.301255,0.338818,0.341501,0.355271,0.373264,0.341659,0.408696,0.318813,0.344776,0.361032,0.3823,0.346709,0.359809,0.366872,0.332899,0.351562,0.34959,0.402936,0.337279,0.336845,0.334478,0.357126,0.327691,0.380524,0.33361,0.354877,0.326862,0.353733,0.364386,0.329072,0.326626,0.388928,0.329388,0.32631,0.343671,0.330808,0.417969,0.302754,0.353101,0.358191,0.341264,0.377801,0.341146,0.327296,0.395439,0.317708,0.352431,0.326231,0.334083,0.342921,0.359967,0.331992,0.372277,0.331321,0.33649,0.33069,0.344539,0.391256,0.32852,0.362255,0.374803,0.388613,0.32773,0.369792,0.347577,0.384233,0.338857,0.333254,0.401002,0.331913,0.343789,0.372751,0.311474,0.311316,0.315341,0.38447,0.340554,0.327967,0.351247,0.365964,0.375631,0.362176,0.329309,0.332307,0.38297,0.365609,0.351247,0.357402,0.343119,0.395991,0.353456] average_cost 0 kappa -0.010101010101010102 kb_relative_information_score 17.84064047602188 mean_absolute_error 0.01979478117256929 mean_prior_absolute_error 0.019800000000000036 number_of_instances 1600 [16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16] predictive_accuracy 0 prior_entropy 6.6438561897747395 recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] relative_absolute_error 0.9997364228570329 root_mean_prior_squared_error 0.09949874371066209 root_mean_squared_error 0.09947716482927484 root_relative_squared_error 0.9997831240819482 total_cost 0 area_under_roc_curve 0.048818266857734285 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[0.256329,0,0.028481,0,0,0.028481,0.006289,0.012658,0,0.003165,0.018987,0.025316,0.069182,0.037736,0.031447,0.183544,0.03481,0.098101,0.08805,0.148734,0.031646,0.088608,0.009494,0.003165,0.066456,0.047468,0.189873,0.119497,0.006289,0.018987,0.044025,0,0.091772,0.009494,0.037736,0.003165,0.053797,0.082278,0.006329,0,0.107595,0.012658,0,0.025157,0.006289,0.119497,0,0.056962,0.018987,0.012658,0.012579,0.006289,0.047468,0.031447,0.050633,0.047468,0,0.003165,0.031646,0.012579,0.018987,0.082278,0.012579,0,0,0.050633,0.138365,0,0.015823,0.063291,0.123418,0.006329,0.08805,0.031447,0.060127,0.044025,0.012658,0.243671,0.003165,0.069182,0.075472,0,0,0.041139,0.09434,0.012579,0,0.006289,0.060127,0.056962,0.050314,0.006329,0.018868,0.037736,0.03481,0.018868,0.129747,0.018868,0.188679,0.132911] area_under_roc_curve 0.04714891330308098 [0.094937,0.031447,0,0,0,0.003165,0.006329,0.031646,0.006289,0,0.006289,0.006289,0.056962,0.012579,0,0.231013,0.044025,0.106918,0.044304,0.142405,0.022152,0.025316,0.03481,0.022152,0.022152,0.144654,0.08805,0.107595,0,0,0.088608,0.012579,0.113208,0.031447,0.018987,0,0.044304,0.075949,0.003165,0,0.174051,0.012658,0,0.012658,0.075472,0.082278,0.009494,0.079114,0.012579,0.012579,0.100629,0.015823,0.044304,0.125786,0.053797,0.060127,0,0.006329,0.03481,0.012579,0.022152,0.136076,0.012579,0,0.012658,0.069182,0.132075,0.006329,0.044304,0.022152,0.119497,0,0.079114,0.081761,0.044304,0.006289,0,0.257862,0.025157,0.025157,0.142405,0.018868,0.009494,0.012658,0.060127,0.012658,0,0.069182,0.044025,0.075949,0.037736,0,0.009494,0.138365,0.044025,0.018987,0.132911,0.050314,0.158228,0.072785] area_under_roc_curve 0.04485635100708543 [0.056962,0.031447,0,0,0,0.006329,0.006329,0.018987,0.018868,0,0.050314,0,0.047468,0.006289,0.050314,0.155063,0.031447,0.144654,0.06962,0.075949,0.028481,0.028481,0.139241,0.012658,0.028481,0.037736,0.132075,0.028481,0.144654,0.006329,0.06962,0,0.08805,0.012579,0.022152,0,0.053797,0.094937,0.003165,0,0.161392,0.003165,0,0.022152,0.031447,0.14557,0,0.047468,0.012579,0.044025,0.295597,0.044304,0.066456,0.069182,0.012658,0.047468,0,0,0.044304,0.056604,0.003165,0.120253,0.012579,0.006329,0.006329,0.081761,0.176101,0,0.041139,0.009494,0.119497,0,0.085443,0.018868,0.060127,0.018868,0,0.031447,0,0.031447,0.075949,0.018868,0.015823,0.022152,0.06962,0.028481,0,0.075472,0.062893,0.079114,0.031447,0,0.003165,0.037736,0.025157,0.028481,0.075949,0.031447,0.142405,0.151899] area_under_roc_curve 0.042057758140275486 [0.075472,0.03481,0.012579,0,0,0.018868,0.012658,0,0.018987,0,0.025157,0.006289,0.015823,0.060127,0.018987,0.169811,0.006289,0.09434,0.060127,0.119497,0.015823,0.018987,0.09434,0.015823,0.047468,0.018868,0.125786,0.012658,0,0.006289,0.060127,0,0.075472,0.012579,0.009494,0,0.047468,0.041139,0.006329,0,0.044025,0,0,0.028481,0.012658,0.262658,0,0.031646,0.025157,0.018868,0.085443,0.015823,0.015823,0.142405,0.044304,0.125786,0,0.050314,0.012658,0.025316,0.012658,0.091772,0.003165,0.009494,0.006289,0.018868,0.14557,0,0.018987,0.150943,0.044025,0.012579,0.161392,0.022152,0.041139,0.047468,0,0.08805,0.025157,0.047468,0.098101,0.037736,0.012579,0.018868,0.037975,0.012658,0,0.037975,0.031447,0.094937,0.072785,0.006329,0.006329,0.088608,0.037736,0.088608,0.106918,0.006329,0.148734,0.062893] area_under_roc_curve 0.041542771276172286 [0.18239,0.053797,0,0,0,0,0.003165,0,0.015823,0,0.025157,0.006289,0.037975,0.037975,0.025316,0.232704,0.031447,0.018868,0.06962,0.132075,0.06962,0.082278,0.006289,0.018987,0.050633,0.012579,0.132075,0.072785,0.018987,0.031447,0.031646,0,0.125786,0,0.028481,0.006329,0.03481,0.047468,0,0,0.037736,0.006329,0,0.012658,0.012658,0.041139,0,0.041139,0.025157,0.012579,0.050633,0.012658,0.037975,0.101266,0.009494,0.037736,0,0.006289,0.031646,0.056962,0.012658,0.050633,0.015823,0.009494,0.018868,0.018868,0.132911,0,0,0.044025,0.150943,0,0.050633,0.041139,0.132911,0.03481,0,0.150943,0.006289,0.025316,0.050633,0.018868,0.056604,0.006289,0.056962,0.006329,0.003165,0.053797,0.006289,0.110759,0.088608,0,0.006329,0.126582,0.037736,0.047468,0.169811,0.044304,0.202532,0.056604] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 kappa -0.012658227848101266 kappa -0.012658227848101266 kappa -0.012658227848101266 kappa -0.012658227848101266 kappa -0.012658227848101266 kappa -0.012658227848101266 kappa -0.012658227848101266 kappa -0.012658227848101266 kappa -0.012658227848101266 kappa -0.012658227848101266 kb_relative_information_score 1.784935065218 kb_relative_information_score 1.7849284384479924 kb_relative_information_score 1.783484085447379 kb_relative_information_score 1.7841279610444636 kb_relative_information_score 1.7834386196556533 kb_relative_information_score 1.78396125461785 kb_relative_information_score 1.7833214363724232 kb_relative_information_score 1.7836524886484728 kb_relative_information_score 1.7842134783763504 kb_relative_information_score 1.7845776481932916 mean_absolute_error 0.01979478712134081 mean_absolute_error 0.019794781589734398 mean_absolute_error 0.019794782380905054 mean_absolute_error 0.019794779781100422 mean_absolute_error 0.019794777898490396 mean_absolute_error 0.01979477445473421 mean_absolute_error 0.019794784200507745 mean_absolute_error 0.019794780271873112 mean_absolute_error 0.019794780244032924 mean_absolute_error 0.019794783782973883 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 number_of_instances 160 [1,2,2,1,2,1,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,1,1,1,2,2,2,2,1,2,2,2,2,2,1,1,1,1,2,1,1,2,2,2,2,1,1,2,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,1,2,2,1,1,1,2,1,2,2,1,2,2,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,1,2,2,1] number_of_instances 160 [1,2,2,1,2,1,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,1,1,1,2,2,2,2,1,2,2,2,2,2,1,1,1,1,2,1,1,2,2,2,2,1,1,2,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,1,2,2,1,1,1,2,1,2,2,1,2,2,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,1,2,2,1] number_of_instances 160 [2,2,2,1,2,2,1,2,2,2,2,2,1,2,2,2,2,2,1,2,1,1,2,1,1,2,2,1,2,2,1,2,2,2,1,1,1,1,1,2,2,1,1,1,2,1,2,1,2,2,2,1,1,2,1,2,1,2,1,2,1,1,2,1,2,2,2,2,1,2,2,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,1,1,2,2,1,2,2,1,2] number_of_instances 160 [2,2,2,1,2,2,1,2,2,2,2,2,1,2,2,2,2,2,1,2,1,1,2,1,1,2,2,1,2,2,1,2,2,2,1,1,1,1,1,2,2,1,1,1,2,1,2,1,2,2,2,1,1,2,1,2,1,2,1,2,1,1,2,1,2,2,2,2,1,2,2,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,1,1,2,2,1,2,2,1,2] number_of_instances 160 [2,1,2,2,1,2,1,2,1,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,2,1,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,1,1,1,2,2,2,2,1,1,2,1,2,2,1,2,2,1,2,2,1,1,2,2,1,2,2,2,2,2,1,1,2,1,2,2,2,1,1,2,2,2,1,1,1,1,2,2,1,2,1,1,2,1,2,1,1,2] number_of_instances 160 [2,1,2,2,1,2,1,2,1,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,2,1,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,1,1,1,2,2,2,2,1,1,2,1,2,2,1,2,2,1,2,2,1,1,2,2,1,2,2,2,2,2,1,1,2,1,2,2,2,1,1,2,2,2,1,1,1,1,2,2,1,2,1,1,2,1,2,1,1,2] number_of_instances 160 [2,1,1,2,1,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,2,1,1,2,1,2,2,1,1,1,2,2,2,2,2,1,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,2,1,1,1,1,1,2,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,1,2,2] number_of_instances 160 [2,1,1,2,1,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,2,1,1,2,1,2,2,1,1,1,2,2,2,2,2,1,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,2,1,1,1,1,1,2,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,1,2,2] number_of_instances 160 [1,2,1,2,2,1,2,1,2,1,1,1,2,2,2,1,1,1,2,1,2,2,1,2,2,1,1,2,2,1,2,2,1,1,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,2,2,1,1,2,1,2,1,1,1,2,2,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,2,2,2,2,1,2,1,2,2,1] number_of_instances 160 [1,2,1,2,2,1,2,1,2,1,1,1,2,2,2,1,1,1,2,1,2,2,1,2,2,1,1,2,2,1,2,2,1,1,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,2,2,1,1,2,1,2,1,1,1,2,2,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,2,2,2,2,1,2,1,2,2,1] predictive_accuracy 0 predictive_accuracy 0 predictive_accuracy 0 predictive_accuracy 0 predictive_accuracy 0 predictive_accuracy 0 predictive_accuracy 0 predictive_accuracy 0 predictive_accuracy 0 predictive_accuracy 0 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] relative_absolute_error 0.9997367233000394 relative_absolute_error 0.999736443925978 relative_absolute_error 0.999736483884092 relative_absolute_error 0.9997363525808278 relative_absolute_error 0.9997362574995133 relative_absolute_error 0.9997360835724333 relative_absolute_error 0.9997365757832177 relative_absolute_error 0.9997363773673272 relative_absolute_error 0.9997363759612571 relative_absolute_error 0.999736554695649 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_squared_error 0.0994771896532743 root_mean_squared_error 0.09947716126217013 root_mean_squared_error 0.09947717145554259 root_mean_squared_error 0.09947715810087897 root_mean_squared_error 0.09947715208653407 root_mean_squared_error 0.09947713431220306 root_mean_squared_error 0.09947718440054107 root_mean_squared_error 0.09947716431675799 root_mean_squared_error 0.09947715719684591 root_mean_squared_error 0.09947717550798721 root_relative_squared_error 0.9997833735725304 root_relative_squared_error 0.9997830882311973 root_relative_squared_error 0.9997831906784452 root_relative_squared_error 0.9997830564590255 root_relative_squared_error 0.999782996012585 root_relative_squared_error 0.999782817373837 root_relative_squared_error 0.9997833207805751 root_relative_squared_error 0.9997831189309604 root_relative_squared_error 0.9997830473731516 root_relative_squared_error 0.9997832314070461 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 2828.7949039999776 usercpu_time_millis 2650.545244000028 usercpu_time_millis 2674.5914169999596 usercpu_time_millis 2653.727973999992 usercpu_time_millis 2667.2602849999976 usercpu_time_millis 2670.2556209999957 usercpu_time_millis 2670.001826999993 usercpu_time_millis 2664.7947449999947 usercpu_time_millis 2660.56576699998 usercpu_time_millis 2652.736916000009 usercpu_time_millis_testing 144.1904619999832 usercpu_time_millis_testing 144.05518800001005 usercpu_time_millis_testing 143.6749619999773 usercpu_time_millis_testing 144.4381940000028 usercpu_time_millis_testing 149.40973899999221 usercpu_time_millis_testing 149.09371100000612 usercpu_time_millis_testing 149.88027900000134 usercpu_time_millis_testing 149.40082499998653 usercpu_time_millis_testing 145.4487409999956 usercpu_time_millis_testing 144.39175600000453 usercpu_time_millis_training 2684.6044419999944 usercpu_time_millis_training 2506.4900560000183 usercpu_time_millis_training 2530.9164549999823 usercpu_time_millis_training 2509.289779999989 usercpu_time_millis_training 2517.850546000005 usercpu_time_millis_training 2521.1619099999893 usercpu_time_millis_training 2520.121547999992 usercpu_time_millis_training 2515.393920000008 usercpu_time_millis_training 2515.1170259999844 usercpu_time_millis_training 2508.3451600000044